Apache Druid vs DuckDB
On the evidence we track, DuckDB leads this comparison with a composite score of 59/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for data warehouse software. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Apache Druid
Optimized for real-time analytics with rapid query execution on streaming and batch data. Provides native integration with Apache Kafka, Amazon Kinesis, and RabbitMQ for low-latency ingestion at scale.
DuckDB
LeaderA portable analytical database that runs locally or embedded in applications, with PostgreSQL-like SQL and APIs for major programming languages, supporting popular data formats including CSV, JSON, Parquet, and Apache Iceberg.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
Apache Druid
- Apache Kafka
- Amazon Kinesis
- Kafka
- Kinesis
- RabbitMQ
DuckDB
Leader- Postgres
- AWS
- S3
- Azure
- Google Cloud
- Hugging Face
- SQLite
- MySQL
- Iceberg
- Delta Lake
- Parquet
- JSON
- Arrow
- Avro
- Pandas
- dplyr
- Jupyter
- Marimo
- Claude
- Cloudflare
- ODBC
- HTTP
- Excel
- Vortex
- +6 more
Apache Druid or DuckDB: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.